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621.74 --- Foundry work. Foundry layout and equipment. Moulding and casting --- 621.74 Foundry work. Foundry layout and equipment. Moulding and casting --- Founding. --- Metal castings. --- Castings, Metal --- Founding --- Casting --- Foundry practice --- Metal-work --- Patternmaking

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Founding --- Engineering --- Engineering. --- Founding. --- foundry engineering --- waste management --- moulding --- furnace --- casting --- cast alloys --- Casting --- Foundry practice --- Construction --- Metal-work --- Patternmaking --- Industrial arts --- Technology --- Industrial & Management Engineering

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This book presents in a single volume the basic essentials of the properties and processing behaviour of plastics and composites. The aim is to give engineers and technologists a sound understanding of basic principles without the introduction of unduly complex levels of mathematics or chemistry and thereby set plastics in their proper context as engineering materials.This textbook pioneered the approach whereby both properties and processing of reinforced and unreinforced plastics are covered in a single volume. It assumes no prior knowledge of plastics, and emphasises the practic

Plastics --- composiet --- extrusiematrijs --- injection compression moulding (icm) --- kunststof --- kunststofverwerking --- Plastic materials --- Plastic products --- Polymers --- Synthetic products --- Condensation products (Chemistry) --- Elastomers --- Plasticity --- Chemistry --- Polymers and Plastics --- Plastics. --- Polymer engineering. --- Chemical engineering --- Design

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The continuous miniaturization of products and the growing complexity of their embedded multifunctionalities necessitates continuous research and development efforts regarding micro components and related micro manufacturing technologies. Highly miniaturized systems, manufactured using a wide variety of materials, have found application in key technological fields, such as healthcare devices, micro implants, mobility, communications, optics, and micro electromechanical systems. Innovations required for the high-precision manufacturing of micro components can specifically be achieved through optimizations using post-process (i.e., offline) and in-process (i.e., online) metrology of both process input and output parameters, as well as geometrical features of the produced micro parts. However, it is of critical importance to reduce the metrology and optimization efforts, since process and product quality control can represent a significant portion of the total production time in micro manufacturing. To solve this fundamental challenge, research efforts have been undertaken in order to define, investigate, implement, and validate the so-called "product/process manufacturing fingerprint" concept. The "product manufacturing fingerprint" concept refers to those unique dimensional outcomes (e.g., surface topography, form error, critical dimensions, etc.) on the produced component that, if kept under control and within specifications, ensure that the entire micro component complies to its specifications. The "process manufacturing fingerprint" is a specific process parameter or feature to be monitored and controlled, in order to maintain the manufacture of products within the specified tolerances. By integrating both product and process manufacturing fingerprint concepts, the metrology and optimization efforts are highly reduced. Therefore, the quality of the micro products increases, with an obvious improvement in production yield. Accordingly, this Special Issue seeks to showcase research papers, short communications, and review articles that focus on novel methodological developments and applications in micro- and sub-micro-scale manufacturing, process monitoring and control, as well as micro and sub-micro product quality assurance. Focus will be on micro manufacturing process chains and their micro product/process fingerprint, towards full process optimization and zero-defect micro manufacturing.

n/a --- Fresnel lenses --- Electro sinter forging --- micro-injection moulding --- surface roughness --- charge relaxation time --- optimization --- gratings --- plasma-electrolytic polishing --- micro structures replication --- micro-grinding --- electrical discharge machining --- injection molding --- quality control --- commercial control hardware --- electrical current --- damping --- process monitoring --- fingerprints --- impact analysis --- current monitoring --- process control --- quality assurance --- surface integrity --- microfabrication --- microinjection moulding --- electro chemical machining --- superhydrophobic surface --- surface modification --- haptic actuator --- electrical discharge machining (EDM) --- surface morphology --- inline metrology --- optical quality control --- finishing --- flow length --- precision injection molding --- laser ablation --- micro metrology --- Halbach linear motor --- 2-step analysis --- computer holography --- PeP --- satellite drop --- process fingerprint --- materials characterisation --- current density --- micro drilling --- multi-spectral imaging --- lithography --- manufacturing signature --- artificial compound eye --- electrohydrodynamic jet printing --- ECM --- positioning platform --- diffractive optics --- bioceramics --- resistance sintering --- uncertainty budget --- product fingerprint --- confocal microscopy --- spectral splitting --- dental implant --- desirability function --- injection compression molding --- electrochemical machining (ECM) --- high strain rate effect --- process fingerprints

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Tribology has been and continues to be one of the most relevant fields, being present in almost all aspects of our lives. The understanding of tribology provides us with solutions for future technical challenges. At the root of all advances made so far are multitudes of precise experiments and an increasing number of advanced computer simulations across different scales and multiple physical disciplines. Based upon this sound and data-rich foundation, advanced data handling, analysis and learning methods can be developed and employed to expand existing knowledge. Therefore, modern machine learning (ML) or artificial intelligence (AI) methods provide opportunities to explore the complex processes in tribological systems and to classify or quantify their behavior in an efficient or even real-time way. Thus, their potential also goes beyond purely academic aspects into actual industrial applications. To help pave the way, this article collection aimed to present the latest research on ML or AI approaches for solving tribology-related issues generating true added value beyond just buzzwords. In this sense, this Special Issue can support researchers in identifying initial selections and best practice solutions for ML in tribology.

artificial intelligence --- machine learning --- artificial neural networks --- tribology --- condition monitoring --- semi-supervised learning --- random forest classifier --- self-lubricating journal bearings --- reduced order modelling --- dynamic friction --- rubber seal applications --- tensor decomposition --- laser surface texturing --- texturing during moulding --- digital twin --- PINN --- reynolds equation --- triboinformatics --- databases --- data mining --- meta-modeling --- monitoring --- analysis --- prediction --- optimization --- fault data generation --- Convolutional Neural Network (CNN) --- Generative Adversarial Network (GAN) --- bearing fault diagnosis --- unbalanced datasets --- tribo-testing --- tribo-informatics --- natural language processing --- tribAIn --- BERT --- amorphous carbon coatings --- UHWMPE --- total knee replacement --- Gaussian processes --- rolling bearing dynamics --- cage instability --- regression --- neural networks --- random forest --- gradient boosting --- evolutionary algorithms --- rolling bearings --- remaining useful life --- feature engineering --- structure-borne sound --- n/a